• Title/Summary/Keyword: Medical convergence

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Evolution of Radiological Treatment Response Assessments for Cancer Immunotherapy: From iRECIST to Radiomics and Artificial Intelligence

  • Nari Kim;Eun Sung Lee;Sang Eun Won;Mihyun Yang;Amy Junghyun Lee;Youngbin Shin;Yousun Ko;Junhee Pyo;Hyo Jung Park;Kyung Won, Kim
    • Korean Journal of Radiology
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    • v.23 no.11
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    • pp.1089-1101
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    • 2022
  • Immunotherapy has revolutionized and opened a new paradigm for cancer treatment. In the era of immunotherapy and molecular targeted therapy, precision medicine has gained emphasis, and an early response assessment is a key element of this approach. Treatment response assessment for immunotherapy is challenging for radiologists because of the rapid development of immunotherapeutic agents, from immune checkpoint inhibitors to chimeric antigen receptor-T cells, with which many radiologists may not be familiar, and the atypical responses to therapy, such as pseudoprogression and hyperprogression. Therefore, new response assessment methods such as immune response assessment, functional/molecular imaging biomarkers, and artificial intelligence (including radiomics and machine learning approaches) have been developed and investigated. Radiologists should be aware of recent trends in immunotherapy development and new response assessment methods.

Medical Image Data Standardization for Machine Learning and Its Application Software (기계학습을 위한 의료영상 데이터 표준화 및 응용 소프트웨어)

  • Kim, Ji-Eon;Han, SeongMin;Park, Minki;Kim, Seung-Jin;No, Si-Hyeong;Jun, Hong-Yong;Lee, Chung Sub;Kim, Tae-Hoon;Jeon, Chang-Won
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.05a
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    • pp.346-347
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    • 2019
  • 의료영상은 환자의 질병을 진단하고 치료방침을 결정하는데 중요한 도구로 자리매김하고 있다. 최근 의료영상을 인공지능 연구가 국내외에서 활발하게 진행되고 있다. 특히 대규모의 의료영상들을 학습시켜 질병과 상태를 정밀 진단할 뿐만 아니라 예측하는 소프트웨어를 개발 하는 상황이다. 그러나 의료영상은 DICOM 표준에 따르고 있지만 태그정보의 사용은 의료기기와 의료기관마다 상이하다. 따라서 의료영상에 대한 메타 데이터의 표준화에 어려움이 있다. 본 논문은 이러한 의료영상 데이터를 표준화 할 수 있는 방법을 제안한다. 그리고 제안한 표준화 데이터로 변환할 수 있는 ETL 소프트웨어의 수행결과를 보이고, 조건에 따라 머신러닝 학습 데이터셋을 생성하는 결과를 제공한다. 향후 제안한 의료영상 표준화와 ETL 소프트웨어는 다양한 수요자 중심의 표준화된 데이터셋을 제공할 수 있는 플랫폼의 주요기능으로 활용 될 것으로 기대한다.

Integrative analysis of microRNA-mediated mitochondrial dysfunction in hippocampal neural progenitor cell death in relation with Alzheimer's disease

  • A Reum Han;Tae Kwon Moon;Im Kyeung Kang;Dae Bong Yu;Yechan Kim;Cheolhwan Byon;Sujeong Park;Hae Lin Kim;Kyoung Jin Lee;Heuiran Lee;Ha-Na Woo;Seong Who Kim
    • BMB Reports
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    • v.57 no.6
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    • pp.281-286
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    • 2024
  • Adult hippocampal neurogenesis plays a pivotal role in maintaining cognitive brain function. However, this process diminishes with age, particularly in patients with neurodegenerative disorders. While small, non-coding microRNAs (miRNAs) are crucial for hippocampal neural stem (HCN) cell maintenance, their involvement in neurodegenerative disorders remains unclear. This study aimed to elucidate the mechanisms through which miRNAs regulate HCN cell death and their potential involvement in neurodegenerative disorders. We performed a comprehensive microarray-based analysis to investigate changes in miRNA expression in insulin-deprived HCN cells as an in vitro model for cognitive impairment. miR-150-3p, miR-323-5p, and miR-370-3p, which increased significantly over time following insulin withdrawal, induced pronounced mitochondrial fission and dysfunction, ultimately leading to HCN cell death. These miRNAs collectively targeted the mitochondrial fusion protein OPA1, with miR-150-3p also targeting MFN2. Data-driven analyses of the hippocampi and brains of human subjects revealed significant reductions in OPA1 and MFN2 in patients with Alzheimer's disease (AD). Our results indicate that miR-150-3p, miR-323-5p, and miR-370-3p contribute to deficits in hippocampal neurogenesis by modulating mitochondrial dynamics. Our findings provide novel insight into the intricate connections between miRNA and mitochondrial dynamics, shedding light on their potential involvement in conditions characterized by deficits in hippocampal neurogenesis, such as AD.

Development of medical image quantification software in the abdominal diseases (복부질환 의료영상 분석 소프트웨어 개발)

  • Kim, Ji-Eon;Kim, Seung-Jin;No, Si-Hyeong;Jun, Hong-Yong;Lee, Chung Sub;Ryu, Jong-Hyun;Kim, Tae-Hoon;Jeong, Chang-Won
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.05a
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    • pp.348-349
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    • 2019
  • 의료영상은 진단을 목적으로 환자의 질환 부위별로 정밀하게 촬영하여 수집된 영상이다. 수집된 의료영상을 판독하여 진단하기 어려운 경우에는 조직검사를 통해 확진검사를 실시한다. 하지만 조직검사의 경우 환자에게 신체적, 경제적 부담을 줄 수 있다. 따라서 의료영상을 기반으로 정밀 진단하는데 도움을 줄 수 있는 정량분석 소프트웨어 개발이 중요하다. 현재 복부 간 질환의 경우 MELD(Model For End-Stage Liver Disease) 점수를 이용하여 간 질환의 중증도나 예후를 예측하는데 이용되고 있다. 하지만 MELD점수 산출에 있어서 의료영상 정보를 사용하지 않았기 때문에 질환 여부를 가늠하는데 에만 이용될 뿐 병변부위의 위치를 확인하는데 에는 어려움이 있다. 그러므로 본 논문은 다양한 의료영상장비에서 획득한 복부영상을 이용하여 복부질환의 중증도를 예측 및 분석함으로서 실제 임상진단에 도움을 줄 수 있는 시스템을 제안하고자 한다.

Anti-obesity Activity of Ethanol Extract from Bitter Melon in Mice Fed High-Fat Diet

  • Yoon, Nal Ae;Park, Juyeong;Jeong, Joo Yeon;Rashidova, Nilufar;Ryu, Jinhyun;Roh, Gu Seob;Kim, Hyun Joon;Cho, Gyeong Jae;Choi, Wan Sung;Lee, Dong Hoon;Kang, Sang Soo
    • Development and Reproduction
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    • v.23 no.2
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    • pp.129-138
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    • 2019
  • In many cases, obesity is associated with metabolic disorders. Recently, natural compounds that may be beneficial for improving obesity have received increasing attention. Bitter melon has received attention as a diabetes treatment. $NAD^+$-dependent deacetylase (Sirtuin 1, SIRT1) has emerged as a novel therapeutic target for metabolic diseases. In this study, ethanol extract of bitter melon (BME) suppressed adipocyte differentiation and significantly increased the expression of SIRT1 in fully differentiated 3T3-L1 cells. Moreover, it enhanced the activation of AMP-activated protein kinase (AMPK). In high-fat diet (HFD)-fed induced-obesity mice, BME suppressed HFD-induced increases in body weight and white adipose tissue (WAT) weight. BME also increased the expression of SIRT1 and suppressed peroxisome proliferator-activated receptor and sterol regulatory element binding protein 1 expressions of WAT from HFD-fed mice. These findings suggest that BME prevents obesity by activating the SIRT1 and AMPK pathway and that it may be a useful dietary supplement for preventing obesity.

New Convergence Business Models by Applying Cloud Service to Medical Industry (클라우드 서비스의 의료산업 적용을 통한 새로운 융합 비즈니스 모델)

  • Jeon, Hangoo;Kim, Jongchul;Seo, Kwang-Kyu
    • Journal of Digital Convergence
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    • v.11 no.4
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    • pp.467-472
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    • 2013
  • Recently, the value of ICT-based medical devices, equipments, software and service development are is increased according to strengthening the convergence among ICT, medical technologies and services. This paper presents the new convergence business models by applying cloud service to medical industry. In order to develop the new convergence business models, we checked the validity and feasibility through analyzing the medical market environments such as medical data backup, medical regulation etc. and present the new convergence business models and the direction of commercial business models for customer acquisition, market expansion and competitiveness improvement. This study is to provide the guidelines for establishing the core capacity strengthening strategy and partnership cooperation strategy when we design a new convergence business models in various industrial fields.

Web Application Implementation Using Flask Model Serving : Urinary Stone Artificial Intelligence Application (Flask 의 모델 서빙을 이용한 웹 어플리케이션 구현 : Urinary Stone 인공지능 응용)

  • Lee, Chung-Sub;Lim, Dong-Wook;No, Si-Hyeong;Kim, Ji-Eon;Yu, Yeong-Ju;Kim, Tae-Hoon;Park, Sung Bin;Yoon, Kwon-Ha;Jeong, Chang-Won
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.05a
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    • pp.454-456
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    • 2021
  • 본 논문은 웹의 발달로 인하여 의료 서비스들이 기존의 Client-Server 방식의 제품에서 Web 방식의 제품으로 변경되고 있는 현대 흐름에서 인공지능 어플리케이션 또한 Web 으로 서비스 하기 위한 방법과 구현된 요로결석 AI 어플리케이션에 대해 기술한다. 이를 구현하기 위해 Python 기반의 Flask 라는 마이크로 웹 프레임워크를 사용하여 DICOM 핸들링, Pre-Processing, Mask 를 생성하고 Predict 결과를 Model Serving 을 통하여 Urinary Stone Segmentation Model 이 서비스되는 인공지능 웹 어플리케이션 동작 방식과 수행 결과를 보인다.

Connected Radiology Care System Environment for Untact Medical Service based on Cloud (클라우드기반의 비대면 의료서비스를 위한 커넥티드 라디올로지 케어 시스템)

  • Noh, Si-Hyeong;Lee, Chungsub;Kim, JiEon;Kim, SeongJin;Kim, Tae-Hoon;Jeong, Chang-Won;Lee, Yun Oh;Kim, Kyung Won;Yoon, Kwon-Ha
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.609-612
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    • 2020
  • 최근 코로나 19에 대한 세계적인 팬데믹 선언에 의해 의료서비스의 변화가 오고 있다. 특히, 국내 법제도적으로 묶여 있던 원격 서비스에 대한 재검토가 되고 있는 실정이다. 본 논문에서 제안하는 커넥티드 라디올로지 케어 시스템은 모바일 의료영상진단기기를 기반으로 의료사각지대에 있는 환자들의 영상촬영과 이에 대한 판독 서비스를 제공하기 위한 시스템이다. 제안한 시스템은 의료환경에 적용하기 위해 환자의 개인정보 보호를 위한 방법과 절차가 반드시 포함되어야 한다. 이를 위해 전체 시스템 구조와 익명화 처리과정을 보인다. 그리고 끝으로 구축된 시스템의 수행과정을 보인다.

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Anti-diabetic Effects of Ethanol Extract from Bitter Melon in Mice Fed a High-fat Diet

  • Yoon, Nal Ae;Park, Juyeong;Lee, Jiyeon;Jeong, Joo Yeon;Kim, Hyun-Kyu;Lee, Hak Sung;Hwang, In Guk;Roh, Gu Seob;Kim, Hyun Joon;Cho, Gyeong Jae;Choi, Wan Sung;Lee, Dong Hoon;Kang, Sang Soo
    • Development and Reproduction
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    • v.21 no.3
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    • pp.259-267
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    • 2017
  • Present study aimed to determine the effect of 'bitter melon', a popularly used fruit in Bangladesh and several other Asian countries, on high-fat-diet-induced type 2 diabetes. To investigate the effect, ethanol extract from bitter melon (BME) as a dietary supplement with mouse chow was used. BME was found to significantly attenuate the high-fat diet (HFD) -induced body weight and total fat mass. BME also effectively reduced the insulin resistance induced by the HFD. Furthermore, dietary supplementation of BME was highly effective in increasing insulin sensitivity and reducing hepatic fat and obesity. These results indicate that BME could be effective in attenuating type 2 diabetes and could therefore be a preventive measure against type 2 diabetes.

Highly efficient genome editing via CRISPR-Cas9 ribonucleoprotein (RNP) delivery in mesenchymal stem cells

  • A Reum Han;Ha Rim Shin;Jiyeon Kweon;Soo Been Lee;Sang Eun Lee;Eun-Young Kim;Jiyeon Kweon;Eun-Ju Chang;Yongsub Kim;Seong Who Kim
    • BMB Reports
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    • v.57 no.1
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    • pp.60-65
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    • 2024
  • The CRISPR-Cas9 system has significantly advanced regenerative medicine research by enabling genome editing in stem cells. Due to their desirable properties, mesenchymal stem cells (MSCs) have recently emerged as highly promising therapeutic agents, which properties include differentiation ability and cytokine production. While CRISPR-Cas9 technology is applied to develop MSC-based therapeutics, MSCs exhibit inefficient genome editing, and susceptibility to plasmid DNA. In this study, we compared and optimized plasmid DNA and RNP approaches for efficient genome engineering in MSCs. The RNP-mediated approach enabled genome editing with high indel frequency and low cytotoxicity in MSCs. By utilizing Cas9 RNPs, we successfully generated B2M-knockout MSCs, which reduced T-cell differentiation, and improved MSC survival. Furthermore, this approach enhanced the immunomodulatory effect of IFN-r priming. These findings indicate that the RNP-mediated engineering of MSC genomes can achieve high efficiency, and engineered MSCs offer potential as a promising therapeutic strategy.